Digital Sports Group, Pattern Recognition Laboratory, Department of Computer Science, Friedrich-Alexander University Erlangen-Nürnberg (FAU), 91058 Erlangen, Germany.
Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany.
Sensors (Basel). 2017 Jun 28;17(7):1522. doi: 10.3390/s17071522.
The purpose of this study was to assess the concurrent validity and test-retest reliability of a sensor-based gait analysis system. Eleven healthy subjects and four Parkinson's disease (PD) patients were asked to complete gait tasks whilst wearing two inertial measurement units at their feet. The extracted spatio-temporal parameters of 1166 strides were compared to those extracted from a reference camera-based motion capture system concerning concurrent validity. Test-retest reliability was assessed for five healthy subjects at three different days in a two week period. The two systems were highly correlated for all gait parameters ( r > 0.93 ). The bias for stride time was 0 ± 16 ms and for stride length was 1.4 ± 6.7 cm. No systematic range dependent errors were observed and no significant changes existed between healthy subjects and PD patients. Test-retest reliability was excellent for all parameters (intraclass correlation (ICC) > 0.81) except for gait velocity (ICC > 0.55). The sensor-based system was able to accurately capture spatio-temporal gait parameters as compared to the reference camera-based system for normal and impaired gait. The system's high retest reliability renders the use in recurrent clinical measurements and in long-term applications feasible.
本研究旨在评估基于传感器的步态分析系统的同时效度和重测信度。11 名健康受试者和 4 名帕金森病（PD）患者被要求在脚部佩戴两个惯性测量单元来完成步态任务。将从参考摄像机运动捕捉系统提取的 1166 步的时空参数与基于传感器的系统提取的参数进行比较，以评估同时效度。在两周的时间内，5 名健康受试者在三个不同的日子进行了重测信度评估。对于所有步态参数，两种系统均高度相关（r>0.93）。步长时间的偏差为 0±16ms，步长偏差为 1.4±6.7cm。未观察到系统相关的有偏差的范围依赖性错误，且健康受试者和 PD 患者之间不存在显著差异。除了步态速度（ICC>0.55）之外，所有参数的重测信度均非常好（组内相关系数（ICC）>0.81）。与基于参考摄像机的系统相比，基于传感器的系统能够准确地捕捉正常和受损步态的时空步态参数。该系统具有较高的重测信度，可在反复的临床测量和长期应用中使用。
